Department of Statistics (Graduate)

Return to: Graduate Studies

Website URL:

http://www.stat.purdue.edu/academic_programs/graduate/index.php

Department/School Head:

Hao Zhang

Academic Programs:

Master’s and Ph.D. Programs

The Department of Statistics at Purdue University is recognized as one of the top statistics programs in the nation. The Department has 64 Faculty members and hundreds of undergraduate and graduate students. The program prepares students for careers in both industry and academia and prepares them to be leaders in their fields.

• M.S.
  • Applied Statistics
  • Fifth Year Applied Statistics
  • Specialization in Computational Finance
  • Specialization in Computational Science and Engineering
  • Specialization in Computational Life Sciences
  • Mathematical Statistics or Probability
  • Joint Statistics and Computer Science
• Ph.D.
  • Ph.D. in Statistics 

Concentrations (Areas of Study):

• Consulting
• Data Visualization
• Computational Finance
• Data Mining
• Machine Learning
• Statistics and Probability Theory
• Statistical Genetics/Genomics

Combined Degree Programs: (Undergraduate Degree / Master’s Degree)

• Combined Degree Program B.S./ M.S. in Statistics

Regular Graduate Faculty by Rank:

Professor

William S. Cleveland
Guang Cheng
Chris Clifton
Bruce A. Craig
Anirban DasGupta
Alexander Gluhovsky
Chong Gu
Faming Liang
Chuanhai Liu
George P. McCabe
Thomas M. Sellke
Jun Xie
Xiao Wang
Mark Daniel Ward
Patrick Wolfe
Hao Zhang
Min Zhang
Michael Zhu

Associate Professor

Sharon Christ
Kiseop Lee
Michael Levine
Guang Lin
Jennifer Neville
Raghu Pasupathy
Bowei Xi
Dabao Zhang
Lingsong Zhang
Tonglin Zhang

Assistant Professor

Elias Bareinboim
Anindya Bhadra
Stanley Ho Chan
Jean Honorio
Takashi Owada
Vinayak Rao
Arman Sabbaghi
Qifan Song
Jing Wang
Ying Zhu

Emeritus Faculty

Mary Ellen Bock
Burgess Davis
Thomas Kuzcek
David S. Moore

Programs

• Statistics, PHD

• Statistics, MS

• Applied Statistics Graduate Certificate

Courses

• STAT 50100 - Experimental Statistics I
• STAT 50200 - Experimental Statistics II
• STAT 50300 - Statistical Methods For Biology
• STAT 50600 - Statistical Programming And Data Management
• STAT 51100 - Statistical Methods
• STAT 51200 - Applied Regression Analysis
• STAT 51300 - Statistical Quality Control
• STAT 51400 - Design Of Experiments
• STAT 51500 - Statistical Consulting Problem
• STAT 51600 - Basic Probability And Applications
• STAT 51700 - Statistical Inference
• STAT 51900 - Introduction To Probability
• STAT 52000 - Time Series And Applications
• STAT 52200 - Sampling And Survey Techniques
• STAT 52400 - Applied Multivariate Analysis
• STAT 52500 - Intermediate Statistical Methodology
• STAT 52600 - Advanced Statistical Methodology
• STAT 52800 - Introduction To Mathematical Statistics
• STAT 52900 - Applied Decision Theory And Bayesian Statistics
• STAT 53200 - Elements Of Stochastic Processes
• STAT 53800 - Probability Theory I
• STAT 53900 - Probability Theory II
• STAT 54000 - Mathematics Of Finance
• STAT 54100 - Advanced Probability And Options With Numerical Methods
• STAT 54500 - Introduction To Computational Statistics
• STAT 54600 - Computational Statistics
• STAT 54900 - An Introduction To QTL Mapping In Experimental Populations
• STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs
• STAT 58000 - Application Of Statistical Theory
• STAT 58100 - Bioinformatics Seminar
• STAT 58200 - Statistical Consulting And Collaboration
• STAT 59000 - Internship Seminar
• STAT 59700 - Statistical Consulting Seminar
• STAT 59800 - Topics In Statistical Methods
• STAT 63800 - Stochastic Processes I
• STAT 63900 - Stochastic Processes II
• STAT 66700 - Measure-Theoretic Statistics: Decision Theoretic And Classical
• STAT 69000 - Seminar
• STAT 69100 - Seminar In Probability Theory
• STAT 69200 - Statistics Seminar
• STAT 69500 - Seminar In Mathematical Statistics
• STAT 69800 - Research MS Thesis
• STAT 69900 - Research PhD Thesis

Return to: Graduate Studies